Dept. Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Germany.
Neuroimage. 2013 Apr 15;70:122-31. doi: 10.1016/j.neuroimage.2012.12.016. Epub 2012 Dec 20.
The analysis of the human cerebral cortex and the measurement of its thickness based on MRI data can provide insight into normal brain development and neurodegenerative disorders. Accurate and reproducible results of the cortical thickness measurement are desired for sensitive detection. This study compares ultra-high resolution data acquired at 7T with 3T data for determination of the cortical thickness of the human brain. The impact of field strength, resolution, and processing method is evaluated systematically.
Five subjects were scanned at 3T (1 mm isotropic resolution) and 7T (1 mm and 0.5 mm isotropic resolution) with 3D MP-RAGE and 3D gradient echo methods. The inhomogeneous signal and contrast of the 7T data due to the B1 field was corrected by division of the MP-RAGE with the GE. ARCTIC, utilizing a voxel-based approach, and FreeSurfer, utilizing a surface-based approach, have been used to compute the cortical thickness of the high resolution 3T and 7T data and of the ultra-high resolution 7T data. FreeSurfer is not designed to process data with a spatial resolution other than 1mm and was modified to avoid this limitation. Additionally SPM and FSL have been used to generate segmentations which were further processed with ARCTIC to determine the cortical thickness.
At identical resolution, the cortical thickness determination yielded consistent results between 3T and 7T confirming the robustness of the acquisition and processing against potential field strength related effects. However, the ultra-high resolution 7T data resulted in significantly reduced values for the cortical thickness estimation compared to the lower resolution data. The reduction in thickness amounts approximately one sixth to one third, depending on the processing algorithm and software used. This suggests a bias in the gray matter segmentation due to partial volume effects and indicates that true cortical thickness is overestimated by most current MR studies using both a voxel-based or surface-based method and can be more accurately determined with high resolution imaging at 7T.
基于 MRI 数据对人脑皮质进行分析并测量其厚度,可以深入了解正常大脑发育和神经退行性疾病。为了实现敏感检测,需要得到皮质厚度测量的准确且可重复的结果。本研究比较了 7T 超高分辨率数据与 3T 数据,以确定人脑皮质的厚度。系统评估了场强、分辨率和处理方法的影响。
5 名受试者分别在 3T(1mm 各向同性分辨率)和 7T(1mm 和 0.5mm 各向同性分辨率)下采用 3D MP-RAGE 和 3D 梯度回波方法进行扫描。采用基于体素的 ARCTIC 和基于表面的 FreeSurfer 方法,利用分割的方法对 7T 数据中的不均匀信号和对比进行校正。由于 B1 场的影响,FreeSurfer 未被设计用于处理空间分辨率大于 1mm 的数据,因此对其进行了修改以避免这一限制。另外,还使用 SPM 和 FSL 生成分割,进一步用 ARCTIC 进行处理以确定皮质厚度。
在相同分辨率下,3T 和 7T 皮质厚度的确定结果一致,证实了采集和处理方法对潜在场强相关效应的稳健性。然而,与较低分辨率数据相比,超高分辨率 7T 数据的皮质厚度估计值显著降低。厚度的减少量约为六分之一到三分之一,具体取决于所使用的处理算法和软件。这表明由于部分容积效应,灰质分割存在偏差,并且表明大多数当前使用基于体素或基于表面的方法的 MR 研究高估了真实的皮质厚度,而使用 7T 高分辨率成像可以更准确地确定皮质厚度。